research
David Wild
Advancing Disease Treatment through Integrative ...

Through the work of the Integrative Data Science Lab (IDSL), we are pioneering new ways to rapidly improve disease treatment and drug discovery using integrative knowledge graphs and advanced machine learning approaches to profile and predict the biological effects of potential new drugs.

research
David Wild
Data Science for Disasters & Crises

The world is already facing the impacts of climate change through increased severity and frequency of natural-event caused disasters. Through our Crisis Technologies Innovation Lab, we are researching ways that data science can help scale and improve the preparation for, mitigation of, response to and recovery from disasters.

research
David Wild
Emergency Technologies & Digital Resilience

In the Crisis Technologies Innovation Lab, we are researching the design and use of technology in a way that promotes Digitial Resilience, that is private, secure, robust and reliable even in adverse or threatening environments. This brings together maker culture, data science, cybersecurity, privacy and human computer interaction research.

publications

Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data

We have created a single repository called Chem2Bio2RDF by aggregating data from multiple chemogenomics repositories that is cross-linked into Bio2RDF and LODD. We have also created a linked-path generation tool to facilitate SPARQL query generation, and have created extended SPARQL functions to address specific chemical/biological search needs. We demonstrate the utility of Chem2Bio2RDF in investigating polypharmacology, identification of potential multiple pathway inhibitors, and the association of pathways with adverse drug reactions.